code: def test_preprocessing_builder_no_data():
      assert pipeline_contains_all(
          PreprocessingBuilder(
              TaskTypesEnum.regression, DataTypesEnum.table
          ).to_pipeline(),
          "scaling",
      )
  
      # have default preprocessing pipelines
      assert (
          PreprocessingBuilder(
              TaskTypesEnum.regression, DataTypesEnum.table
          ).to_pipeline()
          is not None
      )
      assert (
          PreprocessingBuilder(
              TaskTypesEnum.classification, DataTypesEnum.table
          ).to_pipeline()
          is not None
      )
      assert (
          PreprocessingBuilder(
              TaskTypesEnum.clustering, DataTypesEnum.table
          ).to_pipeline()
          is not None
      )
  
      # have no default preprocessing pipelines without additional options
      assert (
          PreprocessingBuilder(
              TaskTypesEnum.ts_forecasting, DataTypesEnum.ts
          ).to_pipeline()
          is None
      )
  
imports: from functools import partial
  from typing import Union
  import numpy
  from fedot.api.api_utils.assumptions.assumptions_builder import UniModalAssumptionsBuilder, MultiModalAssumptionsBuilder, AssumptionsBuilder
  from fedot.api.api_utils.assumptions.preprocessing_builder import PreprocessingBuilder
  from fedot.core.data.data import InputData
  from fedot.core.data.multi_modal import MultiModalData
  from fedot.core.pipelines.node import PipelineNode
  from fedot.core.pipelines.pipeline import Pipeline
  from fedot.core.repository.dataset_types import DataTypesEnum
  from fedot.core.repository.operation_types_repository import OperationTypesRepository
  from fedot.core.repository.tasks import TaskTypesEnum, Task, TsForecastingParams
  from fedot.preprocessing.data_types import TableTypesCorrector
  from fedot.preprocessing.preprocessing import DataPreprocessor
  from test.integration.api.test_main_api import get_dataset
  from test.unit.dag.test_graph_utils import graphs_same
  from test.unit.data_operations.test_data_operations_implementations import get_time_series, get_small_regression_dataset
  from test.unit.multimodal.data_generators import get_single_task_multimodal_tabular_data
label_desc: Use image node_id 7 for calling a global function with example usage: test_preprocessing_builder_no_data() without return types